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Record W4387893495 · doi:10.1080/0092623x.2023.2270205

Psychometric Evaluation and Adaptation of the Five-Factor Sexual Satisfaction Scale (SSS-W) for Use in Men: The Sexual Satisfaction Scale (SSS)

2023· article· en· W4387893495 on OpenAlexaff
Cindy M. Meston, Bridget K. Freihart, Courtney L. Crosby, Kyle R. Stephenson, Paul D. Trapnell

Bibliographic record

VenueJournal of Sex & Marital Therapy · 2023
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsSSS*PsychologyScale (ratio)DistressConfirmatory factor analysisClinical psychologyReliability (semiconductor)PsychometricsValidityTest validityDevelopmental psychologyStructural equation modelingMedicineStatistics

Abstract

fetched live from OpenAlex

The Sexual Satisfaction Scale for Women (SSS-W) is a psychometrically sound, widely used instrument for assessing sexual satisfaction and distress in women. Because the majority of scale items are gender nonspecific, numerous researchers have adapted this scale for use in male samples. The goal of the current study was to assess the reliability and validity of a slightly modified version of the SSS-W in a male sample (N = 268). A Confirmatory Factor Analysis of five previously established factors provided evidence for consistency of internal structure in men. The adapted scale (SSS) exhibited acceptable test-retest reliability, as well as evidence for validity based on relationships with theoretically predicted variables. Taken together, there is evidence to suggest that the SSS may be a reliable and valid psychometric tool for the measurement of sexual satisfaction and distress in both men and women.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.103
GPT teacher head0.348
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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